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Show Results For
-
All HBS Web
(2,814)
- News (445)
- Research (2,158)
- Events (39)
- Multimedia (14)
- Faculty Publications (1,376)
- 2022
- Chapter
What Predicts Corruption?
By: Emanuele Colonnelli, Jorge Gallego and Mounu Prem
Keywords:
Crime and Corruption
Colonnelli, Emanuele, Jorge Gallego, and Mounu Prem. "What Predicts Corruption?" Chap. 16 in A Modern Guide to the Economics of Crime, edited by Paolo Buonanno, Paolo Vanin, and Juan Vargas, 345–373. Edward Elgar Publishing, 2022.
- 28 Sep 2012
- News
The predictability principle
- 19 Sep 2019
- News
Predicting Human Behaviors
“Self-driving cars today know what they are seeing and how fast the object is moving, but they aren’t good at predicting what a human will do next,” explains Misra. “We want to help machines understand humans.” For Perceptive Automata,...
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Keywords:
April White
- August 2018
- Case
Four Products: Predicting Diffusion (2018)
By: John Gourville
One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,...
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Keywords:
Diffusion Processes;
Product Adoption;
Marketing;
Forecasting and Prediction;
Demand and Consumers;
Adoption;
Product Launch
Gourville, John. "Four Products: Predicting Diffusion (2018)." Harvard Business School Case 519-018, August 2018.
- 07 Jul 2020
- News
Predictable Financial Crises
- 15 Apr 2020
- News
Predictions for the New Normal
- July 2019
- Case
Four Products: Predicting Diffusion (2019)
By: John Gourville
One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,...
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Keywords:
Diffusion Processes;
Product Adoption;
Marketing;
Forecasting and Prediction;
Demand and Consumers;
Product;
Adoption;
Product Launch
Gourville, John. "Four Products: Predicting Diffusion (2019)." Harvard Business School Case 520-012, July 2019.
- May 2017
- Case
Four Products: Predicting Diffusion (2017)
By: John Gourville
One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,...
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- February 2021
- Tutorial
Assessing Prediction Accuracy of Machine Learning Models
By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and...
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- November 2011
- Case
Four Products: Predicting Diffusion (2011)
An updated "Four Products" case. This 2011 version includes: sliced peanut butter, artificial dirt for thoroughbred race tracks, interactive tombstones, and stride-changing running shoes. These four products form the basis to assess the drivers of new product adoption....
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Gourville, John T. "Four Products: Predicting Diffusion (2011)." Harvard Business School Case 512-047, November 2011.
- January–February 2021
- Article
Cross‐firm Return Predictability and Accounting Quality
By: Wen Chen, Mozaffar Khan, Leonid Kogan and George Serafeim
We test the hypothesis that if poor accounting quality (AQ) is associated with poor investor understanding of firms’ revenue and cost structures, then poor AQ stocks likely respond more slowly than good AQ stocks to new non‐idiosyncratic information that affects both...
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Keywords:
Accounting Quality;
Earnings Quality;
Stock Returns;
Investment Strategy;
Accounting;
Business Earnings;
Quality;
Investment Return;
Investment;
Strategy
Chen, Wen, Mozaffar Khan, Leonid Kogan, and George Serafeim. "Cross‐firm Return Predictability and Accounting Quality." Journal of Business Finance & Accounting 48, nos. 1-2 (January–February 2021): 70–101.
- March 2022 (Revised July 2022)
- Technical Note
Prediction & Machine Learning
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional...
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Keywords:
Machine Learning;
Data Science;
Learning;
Analytics and Data Science;
Performance Evaluation
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised July 2022.)
- 1996
- Chapter
The Power of Predictability
By: H. H. Stevenson and Mihnea Moldoveanu
Keywords:
Forecasting and Prediction
- 2005
- Working Paper
Pseudo Market Timing and Predictive Regressions
By: Malcolm Baker, Ryan Taliaferro and Jeffrey Wurgler
A number of studies claim that aggregate managerial decision variables, such as aggregate equity issuance, have power to predict stock or bond market returns. Recent research argues that these results may be driven by an aggregate time-series version of Schultz's...
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Keywords:
Managerial Roles;
Equity;
Market Timing;
Financial Instruments;
Investment Return;
Mathematical Methods
Baker, Malcolm, Ryan Taliaferro, and Jeffrey Wurgler. "Pseudo Market Timing and Predictive Regressions." NBER Working Paper Series, No. 10823, January 2005. (First Draft in 2004.)
- 06 May 2015
- What Do You Think?
Are You Ready for Personalized Predictive Analytics?
Summing Up Personal Predictive Analytics: Should We Be Careful What We Wish For? The world of continuous monitoring of numerous sensors for machines and humans, limitless information storage capacity, and big data combined with rapid...
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Keywords:
by James Heskett
- April 2011
- Teaching Note
Prediction Markets at Google (TN)
Teaching Note for 607088.
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- April 2008
- Case
Four Products: Predicting Diffusion (2008)
An updated "Four Products" case. This 2008 version includes: sliced peanut butter, foldable bicycle tires, high-end wooden puzzles, and artificial dirt for thoroughbred race tracks. These four products form the basis to assess the drivers of new product adoption. In...
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Keywords:
Forecasting and Prediction;
Innovation and Invention;
Product Marketing;
Demand and Consumers;
Adoption
Gourville, John T. "Four Products: Predicting Diffusion (2008)." Harvard Business School Case 508-103, April 2008.
- Article
Human Decisions and Machine Predictions
By: Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Human Decisions and Machine Predictions." Quarterly Journal of Economics 133, no. 1 (February 2018): 237–293.
- August 2018 (Revised September 2018)
- Case
Predicting Purchasing Behavior at PriceMart (A)
By: Srikant M. Datar and Caitlin N. Bowler
This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded...
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Keywords:
Data Science;
Analytics and Data Science;
Analysis;
Consumer Behavior;
Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)
- July–August 1995
- Article
The Power of Predictability
By: H. H. Stevenson and M. C. Moldoveanu
Keywords:
Forecasting and Prediction
Stevenson, H. H., and M. C. Moldoveanu. "The Power of Predictability." Harvard Business Review 73, no. 4 (July–August 1995).